Description
Delta Lake Masterclass: Databricks & Spark Mastery is a course on building reliable, high-performance data pipelines using Delta Lake, Apache Spark, and Databricks published by Udemy Online Academy. It provides a comprehensive guide to building reliable, high-performance data pipelines using Delta Lake, Apache Spark, and Databricks. Learners will explore how to efficiently manage large-scale data, implement ACID transactions, manage streaming and batch workloads, and optimize data storage for analytics. The course also covers advanced topics such as schema evolution, data versioning, and performance tuning, equipping individuals with the skills needed to design robust data architectures and harness the full power of modern data engineering tools.
This course is designed for data engineers, architects, and developers who want to build real-time, scalable, and production-ready data pipelines using industry-leading tools. Built on my first course, Databricks & Spark Masterclass: Real-Time Data Engineering (recommended for basic learning), this course focuses exclusively on advanced Delta Lake concepts, performance optimization, management, tuning, and interview preparation.
What you will learn in Delta Lake Masterclass: Databricks & Spark Mastery:
- Build and manage Delta Lake tables (managed vs. external) with schema enforcement, schema evolution, and table constraints.
- Understand the internal architecture of Delta Lake including transaction logs, delete vectors, Z-sort, partitioning, and storage.
- Apply Delta Lake features such as Time Travel, Restore, Vacuum, Auto-compaction, Change Data Feed, and Delta Cloning.
- Perform insert, update, delete, and merge (Upsert) operations using Delta Lake with audit logging and performance tuning.
- Implement Slowly Changing Dimensions (SCD1 & SCD2) with and without Delta Lake in Spark for real-world data warehouse design.
- Optimize performance by converting Parquet to Delta, reordering columns, and applying best practices for query performance.
- Develop and manage real-time streaming pipelines using Delta Lake with persistent and one-time triggers.
- And…
Course specifications
Publisher: Udemy
Instructors: Mallaiah Somula
Language: English
Level: Introductory to Advanced
Number of Lessons: 29
Duration: 30 hours and 33 minutes
Course topics
Delta Lake Masterclass: Databricks & Spark Mastery Prerequisites
For the best learning experience, it is recommended to first complete my course “Databricks & Spark Masterclass: Real-Time Data Engineering.” This Delta Lake Master Program builds on top of it.
No prior experience with Delta Lake is required — everything is explained step by step.
Basic understanding of SQL and data concepts (tables, queries, joins) will be helpful.
Familiarity with Apache Spark / PySpark is recommended but not mandatory.
Access to an Azure Databricks workspace (free or paid) is useful for hands-on practice.
A computer with an internet connection to follow along with Databricks, Spark, and Delta Lake labs.
Pictures
Delta Lake Masterclass: Databricks & Spark Mastery introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 1080p
Changes:
Version 2026/5 compared to 2025/8 has increased by 2 lessons and 2 hours and 4 minutes in duration. English subtitles were also added to the course. The course quality has also been increased from 720p to 1080p.
Download link
File password (s): www.downloadly.ir
Size
23.8 GB
